Donald Rubin
Donald Bruce Rubin is the John L. Loeb Professor of Statistics at Harvard University. He was hired by Harvard in 1984, and served as chair of the department from 1985-1994.
He is most well known for the Rubin Causal Model, a set of methods designed for causal inference with observational data, and for his methods for dealing with missing data.
Chronology
As an undergraduate Rubin attended the accelerated Princeton University PhD program where he was one of a cohort of 20 students mentored by the physicist John Wheeler (the intention of the program was to confirm degrees within 5 years of freshman matriculation). He switched to psychology and graduated in 1965. He began graduate school in psychology at Harvard with a National Science Foundation fellowship, but because his statistics background was considered insufficient, he was asked to take introductory statistics courses. Rubin felt insulted by this given his background in physics, so he decided to transfer to applied math, as he says in the introduction to Matched Sampling for Causal Effects.
